Technical Note: An open source library for processing weather radar data (wradlib). The potential of weather radar observations for hydrological and meteorological research and applications is undisputed, particularly with increasing world-wide radar coverage. However, several barriers impede the use of weather radar data. These barriers are of both scientific and technical nature. The former refers to inherent measurement errors and artefacts, the latter to aspects such as reading specific data formats, geo-referencing, visualisation. The radar processing library wradlib is intended to lower these barriers by providing a free and open source tool for the most important steps in processing weather radar data for hydro-meteorological and hydrological applications. Moreover, the community-based development approach of wradlib allows scientists to share their knowledge about efficient processing algorithms and to make this knowledge available to the weather radar community in a transparent, structured and well-documented way.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Figueras i Ventura, J., Lainer, M., Schauwecker, Z., Grazioli, J., Germann, U.: Pyrad: A Real-Time Weather Radar Data Processing Framework Based on Py-ART (2020) not zbMATH
- Michelson, D, Henja, A, Ernes, S, Haase, G, Koistinen, J, Ośródka, K, Peltonen, T, Szewczykowski, M, Szturc, J: BALTRAD Advanced Weather Radar Networking (2018) not zbMATH
- Jonathan J Helmus; Scott M Collis: The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language (2016) not zbMATH